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dc.contributor.authorGardiner, T.
dc.contributor.authorForbes, A.
dc.contributor.authorDe Mazière, M.
dc.contributor.authorVigouroux, C.
dc.contributor.authorMahieu, E.
dc.contributor.authorDemoulin, P.
dc.contributor.authorVelazco, V.
dc.contributor.authorNotholt, J.
dc.contributor.authorBlumenstock, T.
dc.contributor.authorHase, F.
dc.contributor.authorKramer, I.
dc.contributor.authorSussmann, R.
dc.contributor.authorStremme, W.
dc.contributor.authorMellqvist, J.
dc.contributor.authorStrandberg, A.
dc.contributor.authorEllingsen, K.
dc.contributor.authorGauss, M.
dc.date2008
dc.date.accessioned2016-09-21T09:32:09Z
dc.date.available2016-09-21T09:32:09Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/4299
dc.descriptionThis paper describes the statistical analysis of annual trends in long term datasets of greenhouse gas measurements taken over ten or more years. The analysis technique employs a bootstrap resampling method to determine both the long-term and intra-annual variability of the datasets, together with the uncertainties on the trend values. The method has been applied to data from a European network of ground-based solar FTIR instruments to determine the trends in the tropospheric, stratospheric and total columns of ozone, nitrous oxide, carbon monoxide, methane, ethane and HCFC-22. The suitability of the method has been demonstrated through statistical validation of the technique, and comparison with ground-based in-situ measurements and 3-D atmospheric models.
dc.languageeng
dc.titleTrend analysis of greenhouse gases over Europe measured by a network of ground-based remote FTIR instruments
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freebootstrapping
dc.subject.freeFTIR spectroscopy
dc.subject.freegreenhouse gas
dc.subject.freeground-based measurement
dc.subject.freestatistical analysis
dc.source.titleAtmospheric Chemistry and Physics
dc.source.volume8
dc.source.issue22
dc.source.page6719-6727
Orfeo.peerreviewedYes
dc.identifier.doi10.5194/acp-8-6719-2008
dc.identifier.scopus2-s2.0-56849118153


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